Data Scientist

Job Details

Posted on: 
July 8, 2024
Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our Partner is revolutionizing retail with their dynamic pricing B2B SaaS platform, leading the charge in automating and optimizing pricing strategies with AI-driven insights. Their comprehensive solution, embraced by retailers and brands across over 40 markets, delivers actionable pricing recommendations that drive business growth and profitability. Since 2018, they've been empowering a wide range of industries, including consumer electronics, beauty, and apparel, to seamlessly integrate pricing strategies across online and offline channels.




Years on the market

Team size and structure

Current technology stack

Required skills:

  • A Master’s or higher in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
  • 2+ years of professional experience in:
    - Machine learning: designing, training and serving models.
    - Python software development, including OOP, with proven ability to write clean, efficient, and maintainable code.
    - Data mining, statistical analysis, and data visualization.
  • Understanding and application of common machine/deep learning algorithms.
  • Familiarity with key packages (e.g. polars/pandas, pytorch, scikit-learn, statsmodels, xgboost, etc.).


  • Practical knowledge of SQL and experience with large-scale data systems like Hadoop or Spark.
  • Familiarity with CI/CD processes, services monitoring and software, data & model versioning control.
  • Experience in analyzing and forecasting time-series data.
  • A solid grasp of economic principles, such as demand & supply dynamics, price elasticity, and optimization strategies.
  • Experience with cloud services and platforms, preferably AWS.

Scope of work:

As a Data Scientist, you will be at the forefront of transforming AI-driven pricing solutions.

You will:

  • Develop and Optimize ML Models: Design, develop and fine-tune machine
    learning and other statistical models to power our dynamic pricing engine,
    improving prediction accuracy and adapting to market changes.
  • Own data science projects: Take ownership of data science projects and
    resources, driving them from concept through to production and continuous
  • Advance Generative AI Solutions: Enhance our generative AI solution to
    automate and optimize pricing strategies.


Professional Growth: Work in a stimulating environment where you can continuously develop and expand your skills.

Impactful Work: Contribute to real-world solutions that drive significant business results for our clients.

Innovative Team: Be part of a dynamic, technology-focused team at the forefront of retail tech innovation.

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